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Bachelor's thesis „geometry database creation for ai model training“

Graz
Magna International
Datenbank
€ 450 pro Monat
Inserat online seit: 27 Mai
Beschreibung

Location and Duration

Graz, Austria
Start: ASAP
Duration: 3 months


Job Responsibilities

The aim of the bachelor’s thesis is to create a training and verification database from historical full-vehicle geometry data. You will work with external geometries for external aerodynamics and internal geometry for cabin flow. The database will be used in several projects to train AI models for geometry preparation (AI model training and validation are not in scope of this thesis). The dataset will be split into a training set and a verification set.

* Collect historical geometry data (CAD and mesh data)
* Separate the dataset into training and verification data
* Prepare and organize the dataset in a logical way
* Ensure identical data quality and preparation for all vehicles
* Document all work, including conclusions and recommendations for application


Qualifications

* Currently studying a bachelor’s degree with a technical focus
* Relevant experience through internships or study projects is beneficial
* Knowledge of handling CAD or tessellated data is an advantage
* Basic knowledge of ANSA is an advantage
* Knowledge and experience in 3D simulation (CFD or FEM) is helpful but not required


Preferred Qualifications

* Strong interest in the automotive industry
* High level of helpfulness and excellent communication skills


Benefits

* Monthly gross compensation of €450 (may be increased based on experience)
* Mobility offers and parking spaces
* Daily employee benefits, sporting events and other activities
* Canteen, café and shop access
* Health programs and on‑site consulting services
* Sustainability programs


Equal Employment Opportunity Statement

We are proud to be an equal‑opportunity employer. Hiring is based on experience and qualifications, without discrimination on the basis of color, ancestry, religion, gender, origin, sexual orientation, age, citizenship, marital status, disability or gender identity.

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